RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
3D occupancy prediction is an emerging task that aims to estimate the occupancy states and semantics of 3D scenes using multi-view images. However, image-based scene perception encounters significant challenges in achieving accurate prediction due to the absence of geometric priors. In this paper, we address this issue by exploring cross-modal …